Jan 5, 2023
You will help the product team make data-driven decisions as a product analyst. To put it another way, you will keep track of, evaluate, and research the results of the efforts made by your product teams. You are here to create a data-mindset and, in doing so, to promote a culture of ongoing learning and development. You will collaborate closely with other data analysts, engineers, designers, and product managers while working within one or more cross-functional product teams.
Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions.
Help us set the right goals: Develop clear and measurable objectives based on an initiatives’ scope.
Evaluate initiatives: Support Product experimentation & testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication.
Contribute to self-serve data platform: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs.
Improve data literacy of organization: Educate teams to become independent when it comes to data access and understanding through 1:1 sessions, function led training and team wide workshops to foster data driven culture.
Be part of our data-community: Collaborate with a broad range of analytics teams at N26 to utilize shared platforms, insights and innovations.
Support some of the following product team initiatives (not limited to):
You support your team in discovery of new product ideas, identifying user friction points and business opportunities.
Evaluate your teams’ continuous releases making sure they are delivering on business goals via experimental or observational methods.
Collaborate with UX researchers to combine qualitative and quantitative research for better product hypotheses.
During product development you make sure all data needed for future evaluation is being captured through set up of tracking events or as part of the backend service.
Background:
2+ years of experience, ideally within the Product or Analytics field.
Skills:
Great presentation skills and communication skills.
Desire to work in a fast paced environment.
Strong understanding of statistical methods used in the analysis of experimental and observational data.
Experience with SQL for analytics
Experience working with one or more common data visualization tools (Tableau, Metabase, Looker, Superset, etc)
Having experience in quantitative research would be a plus
Traits:
Actively help yourself (and others) be successful.
Continuously learn and challenge the status quo.
Think globally, act locally.
Strong bias for action.
Give and receive open, direct and timely feedback.
Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
Vacation days vary depending on your location of work. Additional day of annual leave for each year of service.
A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses.
A relocation package with visa support for those who need it.
N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.